GitLab

* Added code for F_t.rotate with test
- updated F.affine tests

* Rotate test tolerance to 2%

* Fixes failing test

* Optimized _expanded_affine_grid with a single matmul op

* Recoded _compute_output_size

* [WIP] recoded F_t.rotate internal methods

* [WIP] Fixed F.affine to support rectangular images

* Recoded _gen_affine_grid to optimized version ~ affine_grid
- Fixes flake8

* [WIP] Use _gen_affine_grid for affine and rotate

* Fixed tests on square / rectangular images for affine and rotate ops

* Removed redefinition of F.rotate
- due to bad merge

* Added code for F_t.rotate with test
- updated F.affine tests

* Rotate test tolerance to 2%

* Fixes failing test

* Optimized _expanded_affine_grid with a single matmul op

* Recoded _compute_output_size

* Add fake data generator for UCF101

* Minor error correction

* Reduce total number of categories

* Fix naming

* Increase length

* Store in uint8

* Close fds

* Add assertGreater

* Add dimension tests

* Use numel instead of size

* Iterate over folds and splits

* fix type hints and move degenerate boxes to a function in torchvision.models.detection.generalized_rcnn

* format code

* format code

* changed to static method

* revert imports

* changed to method

* revert procedure for degenerating boxes

* Fixed resize to only match the smaller edge when an int is given instead of always

* Added test cases for resize()

* add typehints for torchvision.datasets.stl10

* move annotation from class to instance scope

* Clarify scaling of ToTensor transform for target masks in the documentation

* Add link to the segmentation reference
Co-authored-by: vfdev <vfdev.5@gmail.com>
Co-authored-by: vfdev <vfdev.5@gmail.com>

Add document entry for datasets.Omniglot

* enable mypy for torchvision.datasets and ignore existing errors

* imagenet

* utils

* lint

Co-authored-by: dmitrysarov <d.shaulskiy@gmail.com>

* fix fill parameter for PIL pad

* add test

* fix

* lint

* [WIP] Unified input for T.RandomAffine

* Unified inputs for T.RandomAffine transformation

* Update transforms.py

* Updated docs of F.affine fillcolor

* Update transforms.py

* Update transform.py

* Update transform.py

* add torchscriptable adjust_gamma transform

https://github.com/pytorch/vision/issues/1375



* changes based on code-review

* Apply suggested change to add type hint

Required by mypy, even thought technically incorrect due to possible Image parameter. torchscript doesn't support a union based type hint.
Co-authored-by: vfdev <vfdev.5@gmail.com>
Co-authored-by: vfdev <vfdev.5@gmail.com>

* perform cyclic check for hue in test_rgb2hsv

Test fails for cases when hue=0 and hue=360. As hue is cyclic in nature, add cyclic logic for checking the max difference by taking the sin of the tensor and then comparing the max values.

* address linter issues

* [WIP] F.affine

* [WIP] F.affine + tests

* Unified input for F.affine

* Removed commented code

* Removed unused imports

* Add corruption cases

* Read jpeg headers until exhaustion

* Minor error correction

* Add test script

* Raise exception when image is truncated

* Add test

* Skip damaged_jpeg folder

* Compare against basename

* Remove unused test file

Incoherence is when affine transformation is 90 degrees rotation and output contains a zero line

* Remove linux distribution detection, search first on local paths for libraries

* Use not in

* Remove unused variables